Mette Jørgensen

6.8k citations
30 papers · 1.0k · h-index 15

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Gut microbiota and health
    • RNA and protein synthesis mechanisms
    • DNA Repair Mechanisms
    • Cancer-related molecular mechanisms research

Papers in

Mette Jørgensen

26 papers receiving 1.0k citations

Peers

Mette Jørgensen
Comparison fields: 5 of 90
  • Molecular Biology 680
  • Cancer Research 130
  • Health Informatics 12
  • Genetics 61
  • Oncology 143
Replace Lei Zhu with:
Lei Zhu China
Shaogui Wan China
Dan Liu China
Tao Yan China
Yu Sun China
Hisashi Shinohara Japan
Amit Sud United Kingdom
Nicholas L. Rider United States
Chun-Hung Hua Taiwan
Julie M. Wu United States
Mette Jørgensen relative to Lei Zhu China Lei Zhu's profile →
Citations per field
00.5×3.5×
Lei Zhu · 1×
Citations per year

Countries citing papers authored by Mette Jørgensen

Since Specialization
Citations

This map shows the geographic impact of Mette Jørgensen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mette Jørgensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette Jørgensen more than expected).

Fields of papers citing papers by Mette Jørgensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mette Jørgensen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mette Jørgensen. The network helps show where Mette Jørgensen may publish in the future.

Co-authors

The 25 scholars most cited alongside Mette Jørgensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mette Jørgensen Line = papers co-authored together Mette Jørgensen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013219
2 2010140
3 2011112
4 202088
5 201186
6 201662
7 202055
8 201152
9 201131
10 202027
11 202224
12 201923
13 201720
14 202019
15 202316
16 201514
17 202110
18 20229
19 20189
20 20127

About Mette Jørgensen

Mette Jørgensen is a scholar working on Molecular Biology, Epidemiology, Rheumatology, Genetics and Oncology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Hematopoietic Stem Cell Transplantation (3 papers), Bone Tumor Diagnosis and Treatments (3 papers), Neutropenia and Cancer Infections (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Adipose Tissue and Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Molecular Biology (680 citations), Cancer Research (130 citations), Health Informatics (12 citations), Genetics (61 citations) and Oncology (143 citations). Mette Jørgensen has collaborated with scholars based in Denmark, United Kingdom and Spain. Frequent co-authors include Albin Sandelin, Jens Lundgren, Michael Lees, Cameron Ross MacPherson, Eivind Valen, Kristian Helin, Xiaobei Zhao, Jens Vilstrup Johansen, Guido Sauter and Ronald Simon. Their work appears in journals such as Neuro-Oncology, BMC Genomics, The Journal of Infectious Diseases, Haematologica and Clinical Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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